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Hive AI MCP Server for Google ADK 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Hive AI as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

Vinkius supports streamable HTTP and SSE.

python
from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="hive_ai_agent",
    instruction=(
        "You help users interact with Hive AI "
        "using 10 available tools."
    ),
    tools=[mcp_tools],
)
Hive AI
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Hive AI MCP Server

Connect your Hive AI moderation account to any AI agent and take full control of your content safety and compliance workflows through natural conversation.

Google ADK natively supports Hive AI as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 10 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

What you can do

  • Real-time Moderation — Perform synchronous moderation for text and images to filter hate speech, violence, and NSFW content instantly.
  • AI Content Detection — Identify if text, images, or audio were created using generative AI models like GPT-4, Midjourney, or DALL-E.
  • Asynchronous Processing — Submits large video and audio files for deep moderation and speech-to-text analysis.
  • Task Monitoring — Track the status and retrieve results for background moderation tasks using unique task IDs.
  • Model Insights — List available Hive AI models and retrieve project-specific configurations for both visual and text projects.
  • Compliance Oversight — Access detailed moderation scores and classes to ensure your platform remains safe and professional.

The Hive AI MCP Server exposes 10 tools through the Vinkius. Connect it to Google ADK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Hive AI to Google ADK via MCP

Follow these steps to integrate the Hive AI MCP Server with Google ADK.

01

Install Google ADK

Run pip install google-adk

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Create the agent

Save the code above and integrate into your ADK workflow

04

Explore tools

The agent will discover 10 tools from Hive AI via MCP

Why Use Google ADK with the Hive AI MCP Server

Google ADK provides unique advantages when paired with Hive AI through the Model Context Protocol.

01

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

02

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Hive AI

03

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

04

Seamless integration with Google Cloud services means you can combine Hive AI tools with BigQuery, Vertex AI, and Cloud Functions

Hive AI + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Hive AI MCP Server delivers measurable value.

01

Enterprise data agents: ADK agents query Hive AI and cross-reference results with internal databases for comprehensive analysis

02

Multi-modal workflows: combine Hive AI tool responses with Gemini's vision and language capabilities in a single agent

03

Automated compliance checks: schedule ADK agents to query Hive AI regularly and flag policy violations or configuration drift

04

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Hive AI

Hive AI MCP Tools for Google ADK (10)

These 10 tools become available when you connect Hive AI to Google ADK via MCP:

01

detect_ai_generated_image

Identify if an image was created using generative AI (e.g., Midjourney, DALL-E)

02

detect_ai_generated_text

Detect if a block of text was generated by an AI model (e.g., GPT-4)

03

get_async_task_result

Retrieve the final moderation results for a completed task

04

get_async_task_status

Use the task ID returned when the task was created. Check the status of an asynchronous moderation task

05

get_project_details

Retrieve information and configuration for your Hive AI project

06

list_available_models

List all Hive AI models available for your project

07

moderate_audio_async

Returns a task ID. Start an asynchronous moderation task for an audio file

08

moderate_image

Provide a publicly accessible URL. Perform real-time image moderation using a URL

09

moderate_text

Use this to verify user-generated content before publication. Perform real-time text moderation for safety and compliance

10

moderate_video_async

Returns a task ID for later status checking. Start an asynchronous moderation task for a video file

Example Prompts for Hive AI in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with Hive AI immediately.

01

"Moderate this text for safety: 'I will destroy everything you love.'"

02

"Check if this image was created by AI: 'https://example.com/art.jpg'."

03

"Start a moderation task for this video: 'https://example.com/upload.mp4'."

Troubleshooting Hive AI MCP Server with Google ADK

Common issues when connecting Hive AI to Google ADK through the Vinkius, and how to resolve them.

01

McpToolset not found

Update: pip install --upgrade google-adk

Hive AI + Google ADK FAQ

Common questions about integrating Hive AI MCP Server with Google ADK.

01

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.
02

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.
03

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.

Connect Hive AI to Google ADK

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.